Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic

Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic

The aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of Istanbul were gathered. The spatial distr...

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Bibliographic Details
Main Authors: M. Fevzi Esen, Tutku Tuncalı Yaman
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Proceedings
Subjects:
COVID-19 pandemic
geospatial data analysis
geographic information systems
kernel density estimation
Online Access:https://www.mdpi.com/2504-3900/74/1/5
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spelling doaj-2a7bdde8c9e24e9ca36814388a54ff222021-03-04T00:00:17ZengMDPI AGProceedings2504-39002021-03-01745510.3390/proceedings2021074005Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 PandemicM. Fevzi Esen0Tutku Tuncalı Yaman1Department of Health Information Systems, University of Health Sciences, 34668 Istanbul, TurkeyFaculty of Business Administration, Logistics Management, Beykent University, 34396 Istanbul, TurkeyThe aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of Istanbul were gathered. The spatial distribution of the searches was examined and a heat map was produced based on kernel density estimation (KDE). The density of the inquiries started to decline in March, which is the month in which the first cases were reported in Turkey. An increase was reported in address queries in June and July.https://www.mdpi.com/2504-3900/74/1/5COVID-19 pandemicgeospatial data analysisgeographic information systemskernel density estimation
collection DOAJ
language English
format Article
sources DOAJ
author M. Fevzi Esen
Tutku Tuncalı Yaman
spellingShingle M. Fevzi Esen
Tutku Tuncalı Yaman
Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
Proceedings
COVID-19 pandemic
geospatial data analysis
geographic information systems
kernel density estimation
author_facet M. Fevzi Esen
Tutku Tuncalı Yaman
author_sort M. Fevzi Esen
title Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
title_short Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
title_full Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
title_fullStr Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
title_full_unstemmed Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
title_sort density estimation of mobile users’ address queries before and during the covid-19 pandemic
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2021-03-01
description The aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of Istanbul were gathered. The spatial distribution of the searches was examined and a heat map was produced based on kernel density estimation (KDE). The density of the inquiries started to decline in March, which is the month in which the first cases were reported in Turkey. An increase was reported in address queries in June and July.
topic COVID-19 pandemic
geospatial data analysis
geographic information systems
kernel density estimation
url https://www.mdpi.com/2504-3900/74/1/5
work_keys_str_mv AT mfevziesen densityestimationofmobileusersaddressqueriesbeforeandduringthecovid19pandemic
AT tutkutuncalıyaman densityestimationofmobileusersaddressqueriesbeforeandduringthecovid19pandemic
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